Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow to emphasize hidden group structures in networks or focus on specific nodes.
Version: | 0.7.0 |
Depends: | R (≥ 3.2.0) |
Imports: | igraph, Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | oaqc, testthat, ggraph, ggplot2, knitr, rmarkdown |
Published: | 2020-04-25 |
Author: | David Schoch [aut, cre] |
Maintainer: | David Schoch <david.schoch at manchester.ac.uk> |
BugReports: | https://github.com/schochastics/graphlayouts/issues |
License: | MIT + file LICENSE |
URL: | http://graphlayouts.schochastics.net/, https://github.com/schochastics/graphlayouts |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | graphlayouts results |
Reference manual: | graphlayouts.pdf |
Package source: | graphlayouts_0.7.0.tar.gz |
Windows binaries: | r-devel: graphlayouts_0.7.0.zip, r-release: graphlayouts_0.7.0.zip, r-oldrel: graphlayouts_0.7.0.zip |
macOS binaries: | r-release: graphlayouts_0.7.0.tgz, r-oldrel: graphlayouts_0.7.0.tgz |
Old sources: | graphlayouts archive |
Reverse imports: | deepdep, ggraph, snahelper |
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